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biocswirl-dev-team / BiocSwirl

BiocSwirl is a series of in-depth swirlify generated courses used to teach bioinformatics workflows in R/Bioconductor using an interactive and easy to digest format. This project was the People's Choice Award for the Vancouver Bioinformatics Hackathon Hackseq2019.
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Many Lessons skip right to the end #36

Open DGeere opened 3 years ago

DGeere commented 3 years ago

Hi there,

I'm trying to work trough the courses but when I try and start some they just skip right to the end.

For example, when trying to start the Data Wringling lesson in Intro to Data Science.

| Please choose a lesson, or type 0 to return to course menu.

1: lab01 intro to R
2: lab02 data structures
3: lab03 data exploration
4: lab04 data wrangling
5: lab05 data visualization

Selection: 4
  |                                                                                                               |   0%

| Welcome to the data wrangling lesson

...

| You've reached the end of this lesson! Returning to the main menu...

This happens for many courses including Most of Intro to Stats and RNASeq. Coul you please advise?

Thank you

DGeere commented 3 years ago

Hi,

I've just noticed that the affected courses lesson.yaml files are missing all text besides the welcome text.

This is the case with the downloaded file and the files present on the github. Are these courses completed?

Thank you

lisancao commented 3 years ago

Hi @DGeere,

Currently our only "fully complete" course is the RNA-seq one. The rest are in various stages of development, with the intro courses being the least developed. Sorry about that! We are hoping to get those done for the upcoming academic year.

For courses that have some lessons you are interested in but aren't complete, I'd recommend cloning the github repo and using the swirlify package (not swirl), then running demo_lesson() or test_course() so you don't get kicked right away.

Sorry for the inconvenience!

For an intro to R/bioinformatics, you may want to check out these resources: https://uclouvain-cbio.github.io/WSBIM1207/index.html https://bioinformatics.uconn.edu/introduction-to-r/